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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 8, ISSUE 12, DECEMBER 2019

Business Intelligence using Data Mining in Diverse Areas

Monika Kohli, Rohit Tiwari

DOI: 10.17148/IJARCCE.2019.81202

Abstract: This Paper mainly focus on data mining techniques and methods as well as how these techniques are effectively used to generate business intelligence in different fields. Data mining can be classified as a process to extract information or knowledge pattern from massive amount of data using various operational sources such as data warehouse, databases and relational databases etc. The paper emphasizes various features of data mining. It also provides effectiveness of data mining in Business Intelligence (BI). Keywords: Data Mining, Business Intelligence, Operational Database, Business Analytics

How to Cite:

[1] Monika Kohli, Rohit Tiwari, “Business Intelligence using Data Mining in Diverse Areas,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.81202